At IBM, I develop AI-powered services for government clients across document processing and agricultural decision support. My work includes image-based plant disease detection and RAG-powered crop advisory solutions for the Andhra Pradesh and Uttar Pradesh governments.
For Bharat Core (IBM Sovereign Core), I integrate IBM Granite, Sarvam AI, Google Gemma, and Meta Llama models, and develop AI agents and automation workflows with LangChain, LangGraph, and Langflow. Automated orchestration reduced workflow execution time by 30%.
I build Python and FastAPI microservices and work with distributed systems, Redis, Apache Kafka, and PostgreSQL. I’ve also used Docker, Kubernetes, and AWS services to support scalable AI workloads.
Earlier at IBM, I contributed to Watson Pipelines and IBM DataStage NextGen, and worked on agentic authoring for Watsonx.Data Integration. I automated monthly release validations with Python scripts, reducing manual effort and time by 70%.

